Sr Data Engineer

• Strong hands-on experience with cloud data warehouses, relational databases, data architecture, and advanced SQL.
• Demonstrated experience designing, building, and supporting Extract, Transform, Load (ETL) pipelines across multiple source systems.
• Experience integrating data using APIs, connectors, flat files, and scheduled data feeds.
• Strong experience with data modeling, data transformation, data quality, and metadata management.
• Experience working with enterprise work management tools such as Adobe Workfront and data warehouse/data engineering platforms, such as Snowflake, or comparable tools.
• Ability to translate business questions and product requirements into technical specifications, data models, and reporting solutions.
• Experience with enterprise work management platforms, such as Adobe Workfront, Jira, Smartsheet, or ServiceNow, and data warehouse/data engineering platforms, such as Snowflake, Databricks, Microsoft Azure Data Factory, Amazon Redshift, or Google BigQuery.

Qualifications

• Strong experience in data engineering, data warehousing, and SQL.
• Hands-on experience building and supporting ETL/data integration pipelines.
• Experience with cloud data platforms such as Snowflake, Databricks, Redshift, or BigQuery.
• Strong knowledge of data modeling, transformation, and data quality management.
• Ability to translate business requirements into scalable data solutions and insights.